{"id":"W4211183362","doi":"10.1007/s10633-022-09864-0","title":"Message from the Editor","year":2022,"lang":"en","type":"editorial","venue":"Documenta Ophthalmologica","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Optometry; Computer science; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005186354,0.002586211,0.002969726,0.002615899,0.003757523,0.008876526,0.00270652,0.02176095,0.04348514],"category_scores_gemma":[0.03020284,0.001088852,0.001910744,0.001058565,0.00183546,0.003753323,0.001990729,0.02144046,0.04758087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571246,"about_ca_system_score_gemma":0.004459004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053482,"about_ca_topic_score_gemma":0.004364591,"domain_scores_codex":[0.9955921,0.0007342297,0.0003888445,0.0005903344,0.00225607,0.0004384983],"domain_scores_gemma":[0.9852149,0.004031839,0.00103323,0.0005902573,0.006194729,0.002935154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002191216,0.000005418277,0.0000117608,0.00003791721,0.000004616936,0.00005628567,0.000006182658,0.000006125571,0.00002016651,0.0001170695,0.9980487,0.001663966],"study_design_scores_gemma":[0.00007048308,0.00002130904,0.0001781601,0.0001805884,0.00002109105,0.0001343454,0.00003857524,0.00005827365,0.0000979061,0.0005678551,0.9986134,0.00001794091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005212544,0.002135343,0.00008916809,0.143766,0.8480977,0.00004331989,0.00009828031,0.0001056065,0.005612462],"genre_scores_gemma":[0.001033526,0.002733167,0.0001775938,0.242227,0.6791586,0.0001096607,0.0001169852,0.0001376391,0.0743058],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04348514,"threshold_uncertainty_score":0.1454723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138770576553812,"score_gpt":0.2728771968281822,"score_spread":0.259000139172801,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}